TraMOOC (Translation for Massive Open Online Courses): providing reliable MT for MOOCs

no code implementations • EAMT 2016 • Valia Kordoni, Lexi Birch, Ioana Buliga, Kostadin Cholakov, Markus Egg, Federico Gaspari, Yota Georgakopolou, Maria Gialama, Iris Hendrickx, Mitja Jermol, Katia Kermanidis, Joss Moorkens, Davor Orlic, Michael Papadopoulos, Maja Popović, Rico Sennrich, Vilelmini Sosoni, Dimitrios Tsoumakos, Antal Van den Bosch, Menno van Zaanen, Andy Way

Translation

Detecting Multiple Transitions in Literary Texts

no code implementations • LREC 2022 • Nuette Heyns, Menno van Zaanen

The text is split in snippets and LDA is applied, resulting in a sequence of topics.

A Process-oriented Dataset of Revisions during Writing

no code implementations • LREC 2020 • Rianne Conijn, Emily Dux Speltz, Menno van Zaanen, Luuk Van Waes, Evgeny Chukharev-Hudilainen

Revision plays a major role in writing and the analysis of writing processes.

The Influence of Context on the Learning of Metrical Stress Systems Using Finite-State Machines

no code implementations • CL 2018 • Cesko Voeten, Menno van Zaanen

The family of k-testable languages has been shown to be efficiently learnable (in polynomial time).

Translation Crowdsourcing: Creating a Multilingual Corpus of Online Educational Content

no code implementations • LREC 2018 • Vilelmini Sosoni, Katia Lida Kermanidis, Maria Stasimioti, Thanasis Naskos, Eirini Takoulidou, Menno van Zaanen, Sheila Castilho, Panayota Georgakopoulou, Valia Kordoni, Markus Egg

Machine Translation Translation

A Multilingual Wikified Data Set of Educational Material

no code implementations • LREC 2018 • Iris Hendrickx, Eirini Takoulidou, Thanasis Naskos, Katia Lida Kermanidis, Vilelmini Sosoni, Hugo de Vos, Maria Stasimioti, Menno van Zaanen, Panayota Georgakopoulou, Valia Kordoni, Maja Popovic, Markus Egg, Antal Van den Bosch

Cross-Lingual Semantic Textual Similarity Machine Translation +1

Improving Machine Translation of Educational Content via Crowdsourcing

no code implementations • LREC 2018 • Maximiliana Behnke, Antonio Valerio Miceli Barone, Rico Sennrich, Vilelmini Sosoni, Thanasis Naskos, Eirini Takoulidou, Maria Stasimioti, Menno van Zaanen, Sheila Castilho, Federico Gaspari, Panayota Georgakopoulou, Valia Kordoni, Markus Egg, Katia Lida Kermanidis

Machine Translation Transfer Learning +1

TraMOOC: Translation for Massive Open Online Courses

no code implementations • WS 2015 • Valia Kordoni, Kostadin Cholakov, Markus Egg, Andy Way, Lexi Birch, Katia Kermanidis, Vilelmini Sosoni, Dimitrios Tsoumakos, Antal Van den Bosch, Iris Hendrickx, Michael Papadopoulos, Panayota Georgakopoulou, Maria Gialama, Menno van Zaanen, Ioana Buliga, Mitja Jermol, Davor Orlic

Translation

Automatic Compound Processing: Compound Splitting and Semantic Analysis for Afrikaans and Dutch

no code implementations • WS 2014 • Ben Verhoeven, Menno van Zaanen, Walter Daelemans, Gerhard van Huyssteen

Machine Translation Question Answering

OpenSoNaR: user-driven development of the SoNaR corpus interfaces

no code implementations • COLING 2014 • Martin Reynaert, Matje van de Camp, Menno van Zaanen

The Development of Dutch and Afrikaans Language Resources for Compound Boundary Analysis.

no code implementations • LREC 2014 • Menno van Zaanen, Gerhard van Huyssteen, Suzanne Aussems, Chris Emmery, Roald Eiselen

Whereas in languages such as English the components that make up a compound are separated by a space, in languages such as Finnish, German, Afrikaans and Dutch these components are concatenated into one word.

Boundary Detection